Databricks Technical Lead
City: Bengaluru
State/Province: Karnataka
Posting Start Date: 2/18/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Role Purpose
The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists.
bout the Role
We are looking for an experienced Azure Databricks Data Engineer to build and optimize large-scale ETL pipelines on Azure. You will work on end-to-end data engineering workflows using Databricks, PySpark, SQL, Delta Lake, and Azure Data Factory (ADF).
Must-Have Skills
- 5-10 years in Data Engineering / ETL with strong PySpark SQL
- Strong hands-on experience with Azure Databricks
- Strong experience in Delta Lake
- Experience with Azure Data Factory (ADF) for ingestion and orchestration
- Strong understanding of ETL development (extract, transform, load) and data validation
- Comfortable working with large datasets and multiple data formats
- Ability to work in a fast-paced environment and proactively communicate risks/issues
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Key Responsibilities
- Develop, test, and maintain ETL pipelines using Azure Databricks & ADF
- Optimize Spark jobs and SQL queries for performance and scalability
- Implement data quality, validation, and reconciliation checks in pipelines/notebooks
- Orchestrate end-to-end workflows integrating multiple data sources
- Build reusable PySpark modules/framework components for ETL pipelines
- Collaborate with product and QA teams to deliver reliable data solutions
- Ensure secure, scalable, and maintainable engineering practices
Good to Have
- Spark performance tuning best practices
- Experience with enterprise data governance and secure pipeline patterns
- bout the Role
We are looking for an experienced Azure Databricks Data Engineer to build and optimize large-scale ETL pipelines on Azure. You will work on end-to-end data engineering workflows using Databricks, PySpark, SQL, Delta Lake, and Azure Data Factory (ADF).
Must-Have Skills
- 5-10 years in Data Engineering / ETL with strong PySpark SQL
- Strong hands-on experience with Azure Databricks
- Strong experience in Delta Lake
- Experience with Azure Data Factory (ADF) for ingestion and orchestration
- Strong understanding of ETL development (extract, transform, load) and data validation
- Comfortable working with large datasets and multiple data formats
- Ability to work in a fast-paced environment and proactively communicate risks/issues
Key Responsibilities
- Develop, test, and maintain ETL pipelines using Azure Databricks & ADF
- Optimize Spark jobs and SQL queries for performance and scalability
- Implement data quality, validation, and reconciliation checks in pipelines/notebooks
- Orchestrate end-to-end workflows integrating multiple data sources
- Build reusable PySpark modules/framework components for ETL pipelines
- Collaborate with product and QA teams to deliver reliable data solutions
- Ensure secure, scalable, and maintainable engineering practices
Good to Have
- Spark performance tuning best practices
- Experience with enterprise data governance and secure pipeline patterns
- bout the Role
We are looking for an experienced Azure Databricks Data Engineer to build and optimize large-scale ETL pipelines on Azure. You will work on end-to-end data engineering workflows using Databricks, PySpark, SQL, Delta Lake, and Azure Data Factory (ADF).
Must-Have Skills
- 5-10 years in Data Engineering / ETL with strong PySpark SQL
- Strong hands-on experience with Azure Databricks
- Strong experience in Delta Lake
- Experience with Azure Data Factory (ADF) for ingestion and orchestration
- Strong understanding of ETL development (extract, transform, load) and data validation
- Comfortable working with large datasets and multiple data formats
- Ability to work in a fast-paced environment and proactively communicate risks/issues
Key Responsibilities
- Develop, test, and maintain ETL pipelines using Azure Databricks & ADF
- Optimize Spark jobs and SQL queries for performance and scalability
- Implement data quality, validation, and reconciliation checks in pipelines/notebooks
- Orchestrate end-to-end workflows integrating multiple data sources
- Build reusable PySpark modules/framework components for ETL pipelines
- Collaborate with product and QA teams to deliver reliable data solutions
- Ensure secure, scalable, and maintainable engineering practices
Good to Have
- Spark performance tuning best practices
- Experience with enterprise data governance and secure pipeline patterns
Deliver
No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT 2 Team Management Productivity, efficiency, absenteeism 3 Capability development Triages completed, Technical Test performance
Mandatory Skills: DataBricks - Data Engineering .
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion